Short Biography

Dr. Eugene Santos, Jr. (born 1968) received his Ph.D. ('92) in Computer Science from Brown University. He is currently the Sydney E. Junkins 1887 Professor of Engineering at the Thayer School of Engineering and Adjunct Professor of Computer Science at Dartmouth College. He is also the Faculty Director for the Master of Engineering program. Dr. Santos’ work on artificial intelligence intersects the areas of information, cognition, human factors, and mathematics. His current focus is on computational intent, dynamic human behavior, and decision-making with an emphasis on learning nonlinear and emergent behaviors and explainable AI. Dr. Santos has applied his work with the goal of better understanding how we, both as individuals and our society, can best leverage knowledge through AI to improve our world for social good. These application areas include computational social systems – group to individual decision-making, opinion and belief change, socio-cultural attitudes and factors, and social resilience; user and team modeling – inferring user intentions and needs, surgical errors and team intention gaps, and effective use of text and data analytics; and, cybersecurity – insider threat and deception detection, misinformation vs. disinformation, and adversarial intent and course of action analysis. Dr. Santos is currently appointed to serve on the Department of the Air Force Scientific Advisory Board (DAF SAB). He also served on the Board of Directors for Sigma Xi, was appointed to the State of Vermont Taskforce on AI, and is a 2019 Public Voices fellow of the OpEd Project. Dr. Santos was Editor-in-Chief for the IEEE Transactions on Cybernetics from 2008-2013. He is a Fellow of the AAAS and IEEE.

Education

• M.A. – Honorary, Dartmouth College, Hanover, NH, 2007.
• Ph.D. in Computer Science, Brown University, Providence, RI, 1992.
• Sc.M. in Computer Science, Brown University, Providence, RI, 1988.
• M.S. in Mathematics (specializing in Numerical Analysis), Youngstown State University, Youngstown, OH, 1986.
• B.S. in Mathematics and Computer Science, Youngstown State University, Youngstown, OH, 1985.

Academic Positions (Primary)

• Sydney E. Junkins 1887 Professor of Engineering, Thayer School of Engineering, Dartmouth College, Hanover, NH, 2023 – present.
• Faculty Director, Master of Engineering Program, Thayer School of Engineering, Dartmouth College, Hanover, NH, 2023 – present.
• Professor of Engineering, Thayer School of Engineering, Dartmouth College, Hanover, NH, 2005 – present.
• Adjunct Professor of Computer Science, Department of Computer Science, Dartmouth College, Hanover, NH, 2018 – present.
• Interim Director, The Taylor L. Booth Computing Research Center, University of Connecticut, Storrs, CT, 2001 – 2002.
• Associate Professor, Computer Science and Engineering Department, University of Connecticut, Storrs, CT, 1997 – 2005.
• Assistant Professor, Department of Electrical and Computer Engineering, Air Force Institute of Technology, Wright-Patterson AFB, OH, 1992 – 1997.
• Instructor, Department of Mathematics and Computer Science, Youngstown State University, Youngstown, OH, 1986.

Selected Recent Publications on Computational Intentions by Topic

OpEd & Ethical AI

• Yakaboski, Chase, Hyde, Gregory, Nyanhongo, Clement, and Santos, Eugene, Jr., “AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge,” arXiv preprint arXiv:2310.18852, 2023, presentation at NeurIPS AI For Science Workshop 2023. https://doi.org/10.48550/arXiv.2310.18852
• Santos, Eugene, Jr., “Artificial intelligence needs guardrails,” The Hill, 03 June 2019.

Explainable AI & Inverse Reinforcement Learning

• Henrique, Bruno M. and Santos, Eugene, Jr., “Trust in artificial intelligence: Literature review and main path analysis,” Computers in Human Behavior: Artificial Humans 2(1):100043, 2024. https://doi.org/10.1016/j.chbah.2024.100043
• Kim, Keum Joo and Santos, Eugene, Jr., “Learning by Successful or Unsuccessful Experiences?,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting (HFES 2023), 7 pages, Sage CA: Los Angeles, CA: SAGE Publications, Washington, DC, 2023. https://doi.org/10.1177/21695067231192528
• Kim, Keum Joo, Santos, Eugene, Jr., Nguyen, Hien, and Pieper, Shawn, “An Application of Inverse Reinforcement Learning to Estimate Interference in Drone Swarms,” Entropy 24(10): 1364, 2022. https://doi.org/10.3390/e24101364
• Kim, Keum Joo and Santos, Eugene, Jr., “Predicting Decision-Making Competence using Reward Distributions,” Proceedings of the 2022 Human Factors and Ergonomics Society International Annual Meeting (HFES 2022), 2022.
• Santos, Eugene, Jr., Nyanhongo, Clement, Nguyen, Hien, Kim, Keum Joo, and Hyde, Gregory, “Contextual Evaluation of Human-Machine Team Effectiveness,” in Systems Engineering and Artificial Intelligence (Eds. W. Lawless, R. Mittu, S. Sofge, T. Shortell, and T. McDermott), Springer, Cham, 2021. https://doi.org/10.1007/978-3-030-77283-3_14
• Santos, Eugene, Jr., Nguyen, Hien, Kim, Keum Joo, Hyde, Gregory, and Nyanhongo, Clement, “Validation of Double Transition Model by Analyzing Reward Distributions,” Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI-IAT 2020), 586-591, 2020. doi: 10.1109/WIIAT50758.2020.00088.
• Santos, Eugene, Jr., Kim, Keum Joo, and Nguyen, Hien, “Differences between experts and novices in decision-making processes,” Proc. SPIE 11425, Unmanned Systems Technology XXII, 114250I (23 April 2020). https://doi.org/10.1117/12.2557957
• Santos, Eugene, Jr., Kim, Keum Joo, Russell, Jacob, Nguyen, Hien, Veenhuis, Luke, Boparai, Ramnjit, and De Guelle, Luke, “Analysis of Computational Models to Describe Individual Decision-Making Process,” Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2019), 172-179, Thessaloniki, Greece, 2019. https://doi.org/10.1145/3350546.3352515
• Russell, Jacob and Santos, Eugene, Jr., “Explaining Reward Functions in Markov Decision Processes,” Proceedings of the 32nd International FLAIRS Conference, 56-61, Sarasota, FL, 2019.
• Santos, Eugene, Jr., Nguyen, Hien, Nyanhongo, Clement, Hyde, Gregory, Kim, Keumjoo, and Russell, Jacob, “A Decision-Making Framework for Agents in Complex Environments,” Proceedings of 14^th International Naturalistic Decision Making Conference, 176-181, San Francisco, CA, 2019.
• Santos, Eugene, Jr. and Nyanhongo, Clement, “A Contextual-based Framework for Opinion Formation,” Proceedings of the 32nd International FLAIRS Conference, 62-67, Sarasota, FL, 2019.
• Zhao, Yan and Santos, Eugene, Jr., “A Failure of Collective Intelligence,” Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), 361-366, Santiago, Chile, 2018.
• Santos, Eugene, Jr., Nguyen, Hien, Kim, Keum Joo, Russell, Jacob A., Hyde, Gregory M., Veenhuis, Luke J., Boparai, Ramnjit S., De Guelle, Luke T., and Mac, Hung Vu, “A Contextual Decision-Making Framework,” in Computational Context: The Value, Theory and Application of Context with AI (Eds. W. Lawless, R. Mittu, and D. Sofge), 253-286, CRC Press, 2018.

Behavior-Centric Modeling and Security

Deception detection and insider threat

• Thompson, Jeremy E. and Santos, Eugene, Jr., “Echo Chambers as Gravity Wells,” Proceedings of the 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 848-857, St. Petersburg, FL, IEEE, 2023. DOI: 10.1109/IPDPSW59300.2023.0014
• Li, Deqing and Santos, Eugene, Jr., “Discriminating Deception from Truth and Misinformation: An Intent-level Approach,” Journal of Experimental and Theoretical Artificial Intelligence, 35 pages, 2019. doi:10.1080/0952813X.2019.1652354.
• Santos, Eunice E., Santos, Eugene, Jr., Korah, John, Thompson, Jeremy E., Mrurgappan, Vairavan, Subramanian, Suresh, and Zhao, Yan, “Modeling Insider Threat Types in Cyber Organizations,” Proceedings of the 2017 IEEE International Symposium on Technologies for Homeland Security, Waltham, MA, 2017.
• Santos, Eugene, Jr., Li, Deqing, and Yu, Fei, “Deception Detection, Human Reasoning, and Deception Intent,” IEEE Intelligent Systems, 71-13, November/December 2012.
• Santos, Eugene, Jr., Nguyen, Hien, Yu, Fei, Kim, Keum Joo, Li, Deqing, Wilkinson, John T., Olson, Adam, and Jacob, Russell, “Intelligence Analyses and the Insider Threat,” IEEE Transactions on Systems, Man, and Cybernetics: Part A 42(2), 331-347, 2012.
• Li, Deqing and Santos, Eugene, Jr. “Argument Formation in the Reasoning Process: Toward a Generic Model of Deception Detection,” Proceedings of the EACL 2012 Workshop on Computational Approaches to Deception Detection, 63-71, Avignon, France, 2012.
• Santos, Eugene, Jr. and Li, Deqing, “Deception Detection in Multi-Agent Systems,” IEEE Transactions on Systems, Man, and Cybernetics: Part A 40(2), 224-235, 2010.

Social systems, attitudes, and cultural modeling

• Thompson, Jeremy E. and Santos, Eugene, Jr., “Echo Chambers as Gravity Wells,” Proceedings of the 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 848-857, St. Petersburg, FL, IEEE, 2023. DOI: 10.1109/IPDPSW59300.2023.0014
• Santos, Eunice E., Korah, John, Subramanian, Suresh, Murugappan, Vairavan, and Santos, Eugene, Jr., “Infusing Culture in Compartmental Epidemic Models,” 2021 IEEE EEMBS International Conference on Biomedical and Health Informatics (BHI), 1-6, 2021. doi: 10.1109/BHI50953.2021.9508605.
• Santos, Eunice E., Santos, Eugene, Jr., Korah, John, Thompson, Jeremy E., Zhao, Yan, Murugappan, Vairavan, and Russell, Jacob, “Modeling Social Resilience in Communities,” IEEE Transactions on Computational Social Systems 5(1), 186-199, 2018.
• Santos, Eunice E., Santos, Eugene, Jr., Pan, Long, Wilkinson, John T., Thompson, Jeremy E., and Korah, John, “Infusing Social Networks with Culture,” IEEE Transactions on Systems, Man, and Cybernetics: Systems 44(1), 1-17, 2014.
• Santos, Eunice E., Santos, Eugene, Jr., Korah, John, George, Riya, Gu, Qi, Jurmain, Jacob, Kim, Keumjoo, Li, Dewing, Russell, Jacob, Subramanian, Suresh, Thompson, Jeremy, and Yu, Fei, “Incorporating Social Theories in Computational Behavioral Models,” Lecture Notes in Computer Science: Proceedings of the Seventh International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP-2014), 341-349, Washington, DC, Springer, 2014.
• Santos, Eunice E., Santos, Eugene, Jr., Korah, John, Thompson, Jeremy E., Gu, Qi, Kim, Keumjoo, Li, Deqing, Russell, Jacob, Subramanian, Suresh, Zhang, Yuxi, and Zhao, Yan, “Modeling Emergent Border-Crossing Behaviors during Pandemics,” Proceedings of the SPIE: Defense, Security, & Sensing Symposium: Vol 8711, 8711OZ-1-8711OZ-15, Baltimore, MD, 2013.
• Pratto, Felicia, Fox, Annie, Pitpitan, Eileen, Tan, Judy, Huntington, Amy, Santos, Eugene, Jr., Ravishanker, Nalini and Pearson, Adam, “The efficacy of terrorism and counter-terrorism in the second intifada: An intergroup approach,” Paper presented at the annual meeting of the ISPP 32nd Annual Scientific Meeting, Trinity College, Dublin, Ireland, Jul 14, 2009. http://www.allacademic.com/meta/p370518 index.html

Decision Analytics

Computational opinions

• Thompson, Jeremy E. and Santos, Eugene, Jr., “Echo Chambers as Gravity Wells,” Proceedings of the 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 848-857, St. Petersburg, FL, IEEE, 2023. DOI: 10.1109/IPDPSW59300.2023.0014
• Wei, Jason, and Santos, Eugene, Jr., “Narrative Origin Classification of Israeli-Palestinian Conflict Texts,” Proceedings of the 33rd International FLAIRS Conference, 258-263, 2020.
• Santos, Eugene, Jr., Nguyen, Hien, Nyanhongo, Clement, Hyde, Gregory, Kim, Keumjoo, and Russell, Jacob, “A Decision-Making Framework for Agents in Complex Environments,” Proceedings of 14^th International Naturalistic Decision Making Conference, 176-181, San Francisco, CA, 2019.
• Santos, Eugene, Jr. and Nyanhongo, Clement, “A Contextual-based Framework for Opinion Formation,” Proceedings of the 32nd International FLAIRS Conference, 62-67, Sarasota, FL, 2019.
• Zhao, Yan and Santos, Eugene, Jr., “A Failure of Collective Intelligence,” Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), 361-366, Santiago, Chile, 2018.
• Yu, Fei and Santos, Eugene, Jr., “On Modeling the Interplay between Opinion Change and Formation," Proceedings of the 29th International FLAIRS Conference, 140-145, Key Largo, FL, 2016.
• Gu, Qi, Santos, Eugene, Jr., and Santos, Eunice E., “Modeling Opinion Dynamics in a Social Network,” Proceedings of the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 9-16, Atlanta, GA, 2013.
• Santos, Eugene, Jr., Gu, Qi, Santos, Eunice E., and Korah, John, “Finite Belief Fusion Model for Hidden Source Behavior Change Detection,” Proceedings of the 4^th International Conference on Knowledge Discovery and Information Retrieval, 17-24, Barcelona, Spain, 2012.
• Santos, Eunice E., Santos, Eugene, Jr., Wilkinson, John T., and Xia, Huadong, “On a Framework for the Prediction and Explanation of Changing Opinions,” Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 1146-1452, San Antonio, TX, 2009.

Emergence, non-linear decision-making, and decision fusion

• Santos, Eugene, Jr., Jurmain, Jacob, and Ragazzi, Anthony, “Bayesian-knowledge driven ontologies: A framework for fusion of semantic knowledge under uncertainty and incompleteness,” PLOS ONE 19(3): e0296864, 2024. https://doi.org/10.1371/journal.pone.0296864
• Yakaboski, Chase and Santos, Eugene, Jr., “Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level,” Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington D.C., 2023.
• Yakaboski, Chase and Santos, Eugene, Jr., “Efficient Reasoning Upon Fusion of Many Data Sources,” The International FLAIRS Conference Proceedings (34), 2021. https://doi.org/10.32473/flairs.v34i1.128539
• Zhao, Yan and Santos, Eugene, Jr., “Emergence in Multiagent Systems,” Proceedings of the 32nd International FLAIRS Conference, 144-147, Sarasota, FL, 2019.
• Zhao, Yan and Santos, Eugene, Jr., “A Failure of Collective Intelligence,” Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), 361-366, Santiago, Chile, 2018.
• Santos, Eugene, Jr. and Zhao, Yan, “Automatic Emergence Detection in Complex Systems,” Complexity, vol. 2017, Article ID 3460919, 24 pages, 2017. doi:10.1155/2017/3460919
• Santos, Eugene, Jr., Santos, Eunice E., Korah, John, Murugappan, Vairavan, and Subramanian, Suresh, “A Computational Framework for Modeling Targets as Complex Adaptive Systems,” Proceedings of the SPIE: Defense & Security Symposium, Anaheim, CA, 2017.
• Yu, Fei and Santos, Eugene, Jr., “On Modeling the Interplay between Opinion Change and Formation," Proceedings of the 29th International FLAIRS Conference, 140-145, Key Largo, FL, 2016.
• Santos, Eugene, Jr., Wilkinson, John T., and Santos, Eunice E., “Fusing Multiple Bayesian Knowledge Sources,” International Journal of Approximate Reasoning 52(7), 935-947, 2011.

Knowledge-driven learning and knowledge representation

• Santos, Eugene, Jr., Jurmain, Jacob, and Ragazzi, Anthony, “Bayesian-knowledge driven ontologies: A framework for fusion of semantic knowledge under uncertainty and incompleteness,” PLOS ONE 19(3): e0296864, 2024. https://doi.org/10.1371/journal.pone.0296864
• Yakaboski, Chase and Santos, Eugene, Jr., “Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level,” Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington D.C., 2023.
• Yakaboski, Chase and Santos, Eugene, Jr., “Efficient Reasoning Upon Fusion of Many Data Sources,” Proceedings of the International FLAIRS Conference Proceedings (34), 2021. https://doi.org/10.32473/flairs.v34i1.128539
• Santos, Eugene, Jr., “Cost-Based Temporal Reasoning,” Information Sciences 482, 392-418, 2019.
• Yakaboski, Chase and Santos, Eugene, Jr., “Bayesian Knowledge Base Distance-based Tuning,” Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), 64-72, Santiago, Chile, 2018.
• Santos, Eugene, Jr., Gu, Qi, and Santos, Eunice E., “Bayesian Knowledge Base Tuning,” International Journal of Approximate Reasoning 54(8), 1000-1012, 2013.
• Santos, Eugene, Jr., Kilpatrick, Alex, Nguyen, Hien, Gu, Qi, Grooms, Andy, and Poulin, Chris, “Flexible Algorithm Selection Framework for Large Scale Metalearning,” Proceedings of the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 496-503, Macau, China, 2012.
• Santos, Eugene, Jr., Li, Deqing, Santos, Eunice E., and Korah, John, “Temporal Bayesian Knowledge Bases Reasoning about Uncertainty with Temporal Constraints,” Expert Systems With Applications 39, 12905-12917, 2012.
• Santos, Eugene, Jr., Wilkinson, John T., and Santos, Eunice E., “Fusing Multiple Bayesian Knowledge Sources,” International Journal of Approximate Reasoning 52(7), 935-947, 2011.

Intelligence Analyses and Decision Support

Human-Machine Teams

• Henrique, Bruno M. and Santos, Eugene, Jr., “Trust in artificial intelligence: Literature review and main path analysis,” Computers in Human Behavior: Artificial Humans 2(1):100043, 2024. https://doi.org/10.1016/j.chbah.2024.100043
• Santos, Eugene, Jr., Nyanhongo, Clement, Nguyen, Hien, Kim, Keum Joo, and Hyde, Gregory, “Contextual Evaluation of Human-Machine Team Effectiveness,” in Systems Engineering and Artificial Intelligence (Eds. W. Lawless, R. Mittu, S. Sofge, T. Shortell, and T. McDermott), Springer, Cham, 2021. https://doi.org/10.1007/978-3-030-77283-3_14
• Santos, Eugene, Jr., Nguyen, Hien, Kim, Keum Joo, Hyde, Gregory, and Nyanhongo, Clement, “Validation of Double Transition Model by Analyzing Reward Distributions,” Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI-IAT 2020), 586-591, 2020. doi: 10.1109/WIIAT50758.2020.00088.
• Santos, Eugene, Jr., Kim, Keum Joo, and Nguyen, Hien, “Differences between experts and novices in decision-making processes,” Proc. SPIE 11425, Unmanned Systems Technology XXII, 114250I (23 April 2020). doi:10.1117/12.2557957, 2020.
• Santos, Eugene, Jr., Kim, Keum Joo, Russell, Jacob, Nguyen, Hien, Veenhuis, Luke, Boparai, Ramnjit, and De Guelle, Luke, “Analysis of Computational Models to Describe Individual Decision-Making Process,” Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2019), 176-181, Thessaloniki, Greece, 2019.
• Santos, Eugene, Jr., Nguyen, Hien, Nyanhongo, Clement, Hyde, Gregory, Kim, Keumjoo, and Russell, Jacob, “A Decision-Making Framework for Agents in Complex Environments,” Proceedings of 14^th International Naturalistic Decision Making Conference, 176-181, San Francisco, CA, 2019.
• Santos, Eugene, Jr., Nguyen, Hien, Kim, Keum Joo, Russell, Jacob A., Hyde, Gregory M., Veenhuis, Luke J., Boparai, Ramnjit S., De Guelle, Luke T., and Mac, Hung Vu, “A Contextual Decision-Making Framework,” in Computational Context: The Value, Theory and Application of Context with AI (Eds. W. Lawless, R. Mittu, and D. Sofge), 253-286, CRC Press, 2018.
• Santos, Eugene, Jr., Nguyen, Hien, Russell, Jacob, Kim, Keumjoo, Boparai, Ramnjit S., Veenhuis, Luke, Stautland, Thomas K., and Brandt, Bryan, “Capturing a Commander's Decision Making Style,” Proceedings of the SPIE: Defense & Security Symposium, Anaheim, CA, 2017.
• Santos, Eugene, Jr., Nguyen, Hien, Russell, Jacob, Day, Joshua, Pegelow, Scott, and Greenstreet, Alexis, “A Framework for Dynamic Context-Centric Commander Decision Support,” Proceedings of the 2016 Human Factors and Ergonomics Society International Annual Meeting (HFES 2016), Vol. 60, No. 1, 218-222, Washington, DC, 2016.
• Nguyen, Hien and Santos, Eugene, Jr., “Hybrid User Model for Capturing a Users Information Seeking Intent,” in Multimedia Services in Intelligent Environments: Smart Innovation, Systems and Technologies Volume 24 (Eds. G. A. Tsihrintzis, M. Virvou, and L. C. Jain), 31-63. Springer International Publishing, 2013.
• Santos, Eugene, Jr., Zhao, Qunhua, Nguyen, Hien, and Wang, Hua, "Impacts of User Modeling on Personalization of Information Retrieval: An Evaluation with Human Intelligence Analysts," in S. Weibelzahl, A. Paramythis, and J. Masthoff (Eds.), Proceedings of the Fourth Workshop on the Evaluation of Adaptive Systems (held in conjunction with the 10th International Conference on User Modeling (UM'05)), 27-36, Edinburgh, UK, 2005.

Clinical, Biomedical and Translational Science

• Yakaboski, Chase and Santos, Eugene, Jr., “Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level,” Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington D.C., 2023.
• Fecho, Karamarie, et al. (consortium author), ``An Approach for Collaborative Development of a Federated Biomedical Knowledge Graph–Based Question-Answering System: Question-of-the-Month Challenges,'' Journal of Clinical and Translational Science, 1-24, 2023. doi:10.10 17/cts.2023.619
• Fecho, Karamarie et al. (consortium author), “Progress Toward a Universal Biomedical Data Translator,” Clinical and Translational Science 15(8), 1838-1847, 2022. DOI: https://doi.org/10.1111/cts.13301
• Unni, Deepak R. et al. (consortium author), “Biolink Model: A Universal Schema for Knowledge Graphs in Clinical, Biomedical and Translational Science,” Clinical and Translational Science 15(8), 1848-1855, 2022. DOI: https://doi.org/10.1111/cts.13302
• Santos, Eunice E., Santos, Eugene, Jr., Singhal, Ankit, Guo, Donghang, and Zhao, Qunhua, "Inter-cellular Communication Models for Effective and Realistic Biological Simulations," 2008 Era of Hope Proceedings, 204, Baltimore, MD, 2008.

Text, multimedia, and data analytics

• Wei, Jason, and Santos, Eugene, Jr., “Narrative Origin Classification of Israeli-Palestinian Conflict Texts,” Proceedings of the 33rd International FLAIRS Conference, 258-263, 2020.
• Li, Deqing and Santos, Eugene, Jr., “Discriminating Deception from Truth and Misinformation: An Intent-level Approach,” Journal of Experimental and Theoretical Artificial Intelligence, 35 pages, 2019. doi:10.1080/0952813X.2019.1652354.
• Santos, Eugene, Jr. and Gu, Qi, “Automatic Content Based Image Retrieval Using Semantic Analyses,” Journal of Intelligent Information Systems 43(2), 247-269, 2014.
• Nguyen, Hien, Santos, Eugene, Jr., Jacob, Russell, and Smith, Nathan, “Evaluation of the Impact of User-Cognitive Styles on Assessment of Text Summarization,” IEEE Transactions on Systems, Man, and Cybernetics: Part A 41(6), 1038-1051, 2011.
• Zhao, Qunhua, Santos, Eugene, Jr., Nguyen, Hien, and Mohamed, Ahmed, "What Makes a Good Summary?," Computational Methods for Counterterrorism (Eds. S. Argamon and H. Newton), 33-50, Springer, 2009.
• Santos, Eugene, Jr., Mohamed, Ahmed A., and Zhao, Qunhua, "Automatic Evaluation of Summaries Using Document Graphs," Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004) Workshop on Text Summarization Branches Out, 66-73, Barcelona, Spain, 2004.

Teams, organizations, and complex systems

Drones and Drone Swarms

• Deb, Tonmoay, Dix, Jurgen, Jeong, Mingi, Molinaro, Cristian, Pugliese, Andrea, Quattrini Li, Alberto, Santos, Eugene, Jr., Subrahmanian, V. S., Yang, Shanchieh, and Zhang, Youzhi, “DUCK: A Drone-Urban Cyber-Defense Framework based on Pareto-Optimal Deontic Logic Agents,” Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Demonstration Track, 2023.
• Kim, Keum Joo, Santos, Eugene, Jr., Nguyen, Hien, and Pieper, Shawn, “An Application of Inverse Reinforcement Learning to Estimate Interference in Drone Swarms,” Entropy 24(10): 1364, 2022. https://doi.org/10.3390/e24101364

Team decision-making and intent – Patient care

• Santos, Eugene, Jr., Kim, Keum Joo, Yu, Fei, Li, Deqing, O'Shea, Delia M., Thornburg, Abigail M., Smith, Marietta, and Rosen, Joseph, “Modeling trust between doctor and patient with Bayesian Knowledge Bases," MEdSim Magazine, 2014.
• Santos, Eugene, Jr., Kim, Keum Joo, Yu, Fei, Li, Deqing, and Rosen, Joseph, “Bayesian Knowledge Modelling for Healthcare Practices,” Int. J. of Simulation and Process Modelling 8(1), 52-65, 2013.
• Santos, Eugene, Jr., Rosen, Joseph, Kim, Keumjoo, Yu, Fei, Li, Deqing, Jacobs, Elizabeth, and Katona, Lindsay, “Patient Care,” in Modeling and Simulation in the Medical and Health Sciences (Eds. J. A. Sokolowski and C. M. Banks), 147-174, Wiley, 2012.
• Santos, Eugene, Jr., Kim, KeumJoo, Yu, Fei, Li, Deqing, Arbogast, Phoebe, Jacob, Elizabeth A., Rosen, Joseph, “Modeling and Simulating Dynamic Healthcare Practices,” Proceedings of the International Defense and Homeland Security Simulation Workshop (DHSS 2011), 19-26, Rome, IT, 2011. (Best Paper Award)

Complex and adaptive systems

• Kim, Keum Joo, Santos, Eugene, Jr., Nguyen, Hien, and Pieper, Shawn, “An Application of Inverse Reinforcement Learning to Estimate Interference in Drone Swarms,” Entropy 24(10): 1364, 2022. https://doi.org/10.3390/e24101364
• Zhao, Yan and Santos, Eugene, Jr., “Emergence in Multiagent Systems,” Proceedings of the 32nd International FLAIRS Conference, 144-147, Sarasota, FL, 2019.
• Santos, Eugene, Jr., Santos, Eunice E., Korah, John, Murugappan, Vairavan, and Subramanian, Suresh, “A Computational Framework for Modeling Targets as Complex Adaptive Systems,” Proceedings of the SPIE: Defense & Security Symposium, Anaheim, CA, 2017.
• Santos, Eugene, Jr., Rosen, Joseph, Kim, Keumjoo, Li, Deqing, Yu, Fei, Guo, Yufan, Jacobs, Elizabeth, Shih, Sam, Liu, Jean, and Katona, Lindsay, “Reasoning About Intentions in Complex Organizational Behavior,” in Theories of Team Cognition: Cross-Disciplinary Perspectives (Eds. E. Salas, S. Fiore, and M. Letsky), 51-86, Routledge: Taylor & Francis Group, 2012.
• Santos, Eunice E., Santos, Eugene, Jr., Korah, John, Thompson, Jeremy E., Kim, Keumjoo, George, Riya, Gu, Qi, Jurmain, Jacob, Subramanian, Suresh, and Wilkinson, John T., “Intent-Driven Behavioral Modeling During Cross-Border Epidemics,” Proceedings of the 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, 748-755, Boston, MA, 2011.
• Santos, Eunice E., Santos, Eugene, Jr., Singhal, Ankit, Guo, Donghang, and Zhao, Qunhua, "Inter-cellular Communication Models for Effective and Realistic Biological Simulations," 2008 Era of Hope Proceedings, 204, Baltimore, MD, 2008.

Selected and additional papers can be found for download on the main Distributed Information and Intelligence Analysis Group website: http://di2ag.thayer.dartmouth.edu/

Other Affiliations

• Adjunct Professor, Department of Computer Science, Dartmouth College
• Faculty, Institute for Security Technology Studies, Dartmouth College
• Distributed Information and Intelligence Analysis Group (DI²AG), Dartmouth College, Hanover, NH